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DBMS > Atos Standard Common Repository vs. CockroachDB vs. Geode vs. TimesTen vs. YDB

System Properties Comparison Atos Standard Common Repository vs. CockroachDB vs. Geode vs. TimesTen vs. YDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCockroachDB  Xexclude from comparisonGeode  Xexclude from comparisonTimesTen  Xexclude from comparisonYDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesIn-Memory RDBMS compatible to OracleA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument store
Key-value store
Relational DBMSKey-value storeRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.36
Rank#161  Overall
#75  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.cockroachlabs.comgeode.apache.orgwww.oracle.com/­database/­technologies/­related/­timesten.htmlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.cockroachlabs.com/­docsgeode.apache.org/­docsdocs.oracle.com/­database/­timesten-18.1ydb.tech/­en/­docs
DeveloperAtos Convergence CreatorsCockroach LabsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Yandex
Initial release20162015200219982019
Current release170324.1.0, May 20241.1, February 201711 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava
Server operating systemsLinuxLinux
macOS
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsdynamic schemaschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLSQL-like query language (OQL)yesSQL-like query language (YQL)
APIs and other access methodsLDAPJDBCJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesAll languages with LDAP bindingsC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Java
PL/SQL
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnonouser defined functionsPL/SQLno
Triggersyesnoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTMulti-source replicationMulti-source replication
Source-replica replication
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDyes, on a single nodeACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesno
User concepts infoAccess controlLDAP bind authenticationRole-based access controlAccess rights per client and object definablefine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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Atos Standard Common RepositoryCockroachDBGeodeTimesTenYDB
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